Assessing a shortlisted candidate
Provides an overall fit verdict and competency-level scores tied to the requirements of a specific role. Direct quotations make the basis for each assessment visible.
— Talent & Leadership
Talent Fit
Assesses one candidate against a specific role, producing an evidence-backed fit report with competency scores, strengths, gaps, risks and focused interview questions.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Candidate CV or professional dossier
- Output
- Overall candidate fit verdict
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Talent Fit for
Preparing a focused interview
Identifies requirements the candidate’s documents leave unproven and supplies targeted interview questions. Keeps the discussion focused on evidence gaps that matter to the appointment.
Supporting a hiring recommendation
Gives advisers and hiring managers a structured account of strengths, gaps and risks. Grounds the recommendation in documented evidence rather than a general impression of the candidate.
Evaluating an internal appointment
Assesses a candidate’s documented experience against the proposed role’s requirements. Clarifies which capabilities are evidenced and which need further validation.
What it works from
- Candidate CV or professional dossier
- Job description and role requirements
- Supporting candidate documents
What you get back
- Overall candidate fit verdict
- Role-specific competency assessment
- Competency scores with supporting verbatim quotations
- Summary of demonstrated strengths and gaps in evidence or experience
— HOW IT BEHAVES
How Talent Fit produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Composed as work product
Findings on the talent population are written up as a document that reads like professional output, with each claim tied back to a person.
Delivered as a working table
The people land as a clean table you can sort, filter or drop straight into the deliverable.
Criteria-based analysis of every person
Each person is assessed against explicit criteria you control, so the same standard is applied across the talent population on every run.
Grounded in your own assessment and review evidence
The run works from assessment and review evidence you supply, so conclusions about the talent population are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Candidate assessments often blur documented experience, interpretation and untested assumptions, making hiring recommendations difficult to defend. Assessing a shortlisted candidate is the typical trigger — provides an overall fit verdict and competency-level scores tied to the requirements of a specific role. Direct quotations make the basis for each assessment visible. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces overall candidate fit verdict plus role-specific competency assessment. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 1–2 weeks of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
Who it's for
- CHROs and talent management leads
- Succession and leadership development teams
- Executive assessors and coaches
- Consultants running talent reviews
Run it in Skillsize — or export it anywhere
Talent Fit exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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